Abstract

MOTIVATION: Kinetochores are multi-protein complexes which mediate chromosome attachment to microtubules (MTs) of the mitotic spindle. They regulate MT dynamics during chromosome segregation. Our goal is to identify groups of kinetochore proteins with similar effects on MT dynamics, revealing pathways through which kinetochore proteins transform chemical and mechanical input signals into cues of MT regulation. RESULTS: We have developed a hierarchical, agglomerative clustering algorithm that groups S. cerevisiae strains based on MT-mediated chromosome dynamics measured by high-resolution live cell microscopy. Clustering is based on parameters of autoregressive moving average (ARMA) models of the probed dynamics. We have found that the regulation of wildtype MT dynamics varies with cell cycle and temperature, but not with the chromosome an MT is attached to. By clustering the dynamics of mutants, we discovered that the three genes IPL1, DAM1 and KIP3 co-regulate MT dynamics. Our study establishes the clustering of chromosome and MT dynamics by ARMA descriptors as a sensitive framework for the systematic identification of kinetochore protein sub-complexes and pathways for the regulation of MT dynamics. AVAILABILITY: The clustering code, written in Matlab, can be downloaded from http://lccb.scripps.edu. ("download" hyperlink at bottom of website). SUPPLEMENTARY INFORMATION: Supplementary text, three supplementary figures and two supplementary tables are submitted with the manuscript.

Interaction Annotations

Increase the total number of rows showing on this page by using the pull-down located below the table, or use the
page scroll at the table's top right to browse through the table's pages; use the arrows to the right of a column
header to sort by that column; filter the table using the "Filter" box at the top of the table; click on the small
"i" buttons located within a cell for an annotation to view further details about experiment type and any other
genes involved in the interaction.

Gene Ontology Annotations

Increase the total number of rows showing on this page using the pull-down located below the table, or use the page
scroll at the table's top right to browse through the table's pages; use the arrows to the right of a column header
to sort by that column; filter the table using the "Filter" box at the top of the table.

Phenotype Annotations

Increase the total number of rows showing on this page using the pull-down located below the table, or use the page
scroll at the table's top right to browse through the table's pages; use the arrows to the right of a column header
to sort by that column; filter the table using the "Filter" box at the top of the table; click on the small "i"
buttons located within a cell for an annotation to view further details.

Regulation Annotations

Increase the total number of rows displayed on this page using the pull-down located below the table, or use the
page scroll at the table's top right to browse through the table's pages; use the arrows to the right of a column
header to sort by that column; to filter the table by a specific experiment type, type a keyword into the Filter box
(for example, “microarray”); download this table as a .txt file using the Download button or click Analyze to
further view and analyze the list of target genes using GO Term Finder, GO Slim Mapper, SPELL, or YeastMine.

Expression Datasets

Increase the total number of rows displayed on this page using the pull-down located below the table, or use the
page scroll at the table's top right to browse through the table's pages; use the arrows to the right of a column
header to sort by that column; filter the table using the "Filter" box at the top of the table; download this table
as a .txt file using the Download button;